Random number generators (RNGs) play a crucial role in cryptographic schemes. If the generated random numbers exhibit patterns or are predictable, it can lead to vulnerabilities and compromise the security of cryptogr...
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Random number generators (RNGs) play a crucial role in cryptographic schemes. If the generated random numbers exhibit patterns or are predictable, it can lead to vulnerabilities and compromise the security of cryptographic protocols, including confidentiality, integrity, and authenticity. However, not all RNGs are suitable for cryptographic applications. Pseudo-random number generators (PRNGs), which are based on mathematical formulas, are highly vulnerable to attacks and can be predictable. Cryptographically Secure Pseudo-random Number Generators (CSPRNGs) offer improved security but require more resources and can still be predictable if the seed is known. True Random Number Generators (TRNGs) extract randomness from physical sources, such as atmospheric noise, thermal noise, or radioactive decay, making them truly unpredictable. Memory Physically Unclonable Functions (PUFs) are promising candidates for TRNGs as they leverage the random silicon fabrication process to generate inherent randomness. The objective of this work is to improve an MRAM-based TRNG by manipulating the analog responses. We propose both hardware and software implementations of TRNG schemes. To evaluate the randomness and quality of the generated sequences, we subject them to the statistical test suite from the National Institute of Standards and Technology (NIST) designed for assessing random and pseudo-random numbers. Additionally, we introduce a post-processing method that involves XORing the generated numbers with pseudo-random numbers to enhance the randomness further and strengthen the overall security of the TRNG.
By means of PPC model be applied to comprehensive evaluation of soil quality,RAGA is proposed to be made use of to optimize the projection direction,it can turn multi-dimension data into low dimension space,the value ...
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By means of PPC model be applied to comprehensive evaluation of soil quality,RAGA is proposed to be made use of to optimize the projection direction,it can turn multi-dimension data into low dimension space,the value of projection function can be calculated by way of seeking the optimal projection direction,thereby,according to the value,comprehensive evaluation of soil quality can be *** outcome from concrete application indicates that it is suitable to evaluate soil quality,can avoid the problem of calculating weight coefficient subjectively,and provides us with a new method and thought to comprehensive evaluation of soil quality.
In this paper a novel structure is proposed to reduce the mutual coupling between two coplanar microstrip antennas which resonates at the same frequency band. A simple string of H-shaped DGS is placed in between two a...
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ISBN:
(纸本)9781467366212
In this paper a novel structure is proposed to reduce the mutual coupling between two coplanar microstrip antennas which resonates at the same frequency band. A simple string of H-shaped DGS is placed in between two antennas to reduce the mutual coupling. Simulated result shows that the reduction of mutual coupling up to 50dB is achieved without affecting the radiation behavior of the antennas.
With the advent and recent extension of the BLHA standard to interface Monte Carlo event generators and one-loop matrix element providers, the Herwig++ event generator has expanded its range of applicability to a mult...
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This paper addresses the problem of rate control for the Available Bit Rate (ABR) service class in an ATM network. A Sugeno's method based fuzzy ABR rate controller is proposed in this context. This fuzzy congesti...
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This paper addresses the problem of rate control for the Available Bit Rate (ABR) service class in an ATM network. A Sugeno's method based fuzzy ABR rate controller is proposed in this context. This fuzzy congestion control approach is optimized by a conventional gradient search method, in which the parameters of the output fuzzy functions are adapted based on the gradient of a certain control criterion. By simulation using real trace data we show that ATM networks can approach the desired output behavior very effectively and also maintain high utilization of the network through the proposed self-tuning fuzzy congestion control scheme. Low cell loss ratio and high link utilization are achieved.
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